{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "markets = ['Oil', 'Russia', 'China', 'Korea', 'Brazil', 'Mexico', 'US' , 'Italy',  'France', 'German',  'Netherlands', 'UK']\n",
    "#markets = ['Oil', 'Russia', 'China', 'Korea', 'Brazil', 'Mexico' , 'Italy',  'France', 'German',  'Netherlands', 'UK']\n",
    "data_url = 'data/'"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 12/12 [00:01<00:00,  8.56it/s]\n"
     ]
    }
   ],
   "source": [
    "sigma_df = pd.DataFrame()\n",
    "jump_df = pd.DataFrame()\n",
    "jump_v_df = pd.DataFrame()\n",
    "for market in tqdm(markets):\n",
    "    df = pd.read_csv(r'F:/0.JumpTailwithDiffusionVolatility/' + data_url+market+'/result.csv', parse_dates=[0], index_col=0)\n",
    "    df = df.loc[df.sigma>0]\n",
    "\n",
    "    sigma_df = pd.concat([sigma_df, df.sigma], axis=1, join=\"outer\")\n",
    "    jump_df = pd.concat([jump_df, df.LV], axis=1, join=\"outer\")\n",
    "    jump_v_df = pd.concat([jump_v_df, df.LJV], axis=1, join=\"outer\")\n",
    "\n",
    "\n",
    "sigma_df.columns = markets\n",
    "jump_df.columns = markets\n",
    "jump_v_df.columns = markets\n",
    "\n",
    "# IvyDB European数据不够\n",
    "sigma_df  = sigma_df.loc[sigma_df.index<=pd.to_datetime('2021-9-30')]\n",
    "jump_df   = jump_df.loc[jump_df.index<=pd.to_datetime('2021-9-30')]\n",
    "jump_v_df = jump_v_df.loc[jump_v_df.index<=pd.to_datetime('2021-9-30')]\n",
    "# IvyDB Russia数据缺失\n",
    "sigma_df  = sigma_df.loc[sigma_df.index>=pd.to_datetime('2008-4-1')]\n",
    "jump_df   = jump_df.loc[jump_df.index>=pd.to_datetime('2008-4-1')]\n",
    "jump_v_df = jump_v_df.loc[jump_v_df.index>=pd.to_datetime('2008-4-1')]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "sigma_df.fillna(method='ffill', inplace=True)\n",
    "jump_df.fillna(method='ffill', inplace=True)\n",
    "jump_v_df.fillna(method='ffill', inplace=True)\n",
    "# sigma_df['weekday'] = pd.Series(sigma_df.index, index=sigma_df.index).dt.weekday+1\n",
    "# sigma_df.loc[sigma_df.isnull().any(axis=1)]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "sigma_df.to_csv('sigma_df.csv')\n",
    "jump_df.to_csv('jump_df.csv')\n",
    "jump_v_df.to_csv('jump_v_df.csv')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#提取板块期权的left jump和right jump"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [],
   "source": [
    "markets = ['GLD','Oil', 'XLB', 'XLE', 'XLF', 'XLI', 'XLK', 'XLP', 'XLU', 'XLV', 'XLY']\n",
    "data_url = 'data/'"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [],
   "source": [
    "ljump_df = pd.DataFrame()\n",
    "ljump_v_df = pd.DataFrame()\n",
    "rjump_df = pd.DataFrame()\n",
    "rjump_v_df = pd.DataFrame()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 11/11 [00:01<00:00,  7.24it/s]\n"
     ]
    }
   ],
   "source": [
    "for market in tqdm(markets):\n",
    "    df = pd.read_csv(r'F:/0.JumpTailwithDiffusionVolatility/' + data_url+market+'/result_new.csv', parse_dates=[0], index_col=0)\n",
    "    df = df.loc[df.sigma>0]\n",
    "\n",
    "    ljump_df = pd.concat([ljump_df, df.LJVariance8], axis=1, join=\"outer\")\n",
    "    ljump_v_df = pd.concat([ljump_v_df, df.LJVolatility8], axis=1, join=\"outer\")\n",
    "    rjump_df = pd.concat([rjump_df, df.RJVariance8], axis=1, join=\"outer\")\n",
    "    rjump_v_df = pd.concat([rjump_v_df, df.RJVolatility8], axis=1, join=\"outer\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [],
   "source": [
    "ljump_df.columns = markets\n",
    "ljump_v_df.columns = markets\n",
    "rjump_df.columns = markets\n",
    "rjump_v_df.columns = markets"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "outputs": [],
   "source": [
    "def change_name(df):\n",
    "    df.rename(columns={'XLY':'Consumer Discretionary','XLP':'Consumer Staples','XLE':'Energy','XLF':'Financial','XLV':'Health','XLI':'Industrial','XLB':'Materials','XLRE':'Real Estate','XLK':'Technology','XLU':'Utilities','XLC':'Communication Services','GLD':'Gold'}, inplace=True)\n",
    "    df = df.dropna()\n",
    "    return df\n",
    "\n",
    "ljump_df = change_name(ljump_df)\n",
    "ljump_v_df = change_name(ljump_v_df)\n",
    "rjump_df = change_name(rjump_df)\n",
    "rjump_v_df = change_name(rjump_v_df)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "outputs": [],
   "source": [
    "jump_v_df = np.sqrt(ljump_df+rjump_v_df)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [],
   "source": [
    "jump_v_df.to_csv('jump.csv')\n",
    "ljump_v_df.to_csv('ljump.csv')\n",
    "rjump_v_df.to_csv('rjump.csv')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "data": {
      "text/plain": "                 GLD       Oil  Materials    Energy  Financial  Industrial  \\\n2008-01-02       NaN  0.003717   0.009968  0.007639   0.014480    0.004125   \n2008-01-03       NaN  0.003827   0.009222  0.007763   0.012272    0.006233   \n2008-01-04       NaN  0.003798   0.008869  0.006918   0.012004    0.004680   \n2008-01-07       NaN  0.004544   0.008345  0.008309   0.011431    0.004712   \n2008-01-08       NaN  0.004160   0.008329  0.003801   0.011540    0.003544   \n...              ...       ...        ...       ...        ...         ...   \n2021-12-27  0.001058  0.036118   0.005209  0.009696   0.008911    0.005247   \n2021-12-28  0.001201  0.023772   0.004719  0.010284   0.008380    0.005680   \n2021-12-29  0.001443  0.025607   0.004757  0.008497   0.007177    0.004446   \n2021-12-30  0.001291  0.022342   0.004072  0.008561   0.008080    0.005029   \n2021-12-31  0.001098  0.027467   0.004367  0.007145   0.009215    0.005076   \n\n            Technology  Consumer Staples  Utilities    Health  \\\n2008-01-02    0.007474          0.001402   0.003242  0.002655   \n2008-01-03    0.006684          0.001052   0.002387  0.002643   \n2008-01-04    0.006846          0.002617   0.003122  0.002413   \n2008-01-07    0.007612          0.002959   0.003433  0.001737   \n2008-01-08    0.008174          0.001234   0.003080  0.001448   \n...                ...               ...        ...       ...   \n2021-12-27    0.008501          0.002533   0.003856  0.002617   \n2021-12-28    0.008786          0.002459   0.004603  0.004062   \n2021-12-29    0.007851          0.002355   0.004192  0.003791   \n2021-12-30    0.007549          0.002617   0.004396  0.003039   \n2021-12-31    0.007040          0.002490   0.005138  0.004059   \n\n            Consumer Discretionary  \n2008-01-02                0.007484  \n2008-01-03                0.008562  \n2008-01-04                0.007468  \n2008-01-07                0.006682  \n2008-01-08                0.006900  \n...                            ...  \n2021-12-27                0.006880  \n2021-12-28                0.007468  \n2021-12-29                0.007036  \n2021-12-30                0.006704  \n2021-12-31                0.006700  \n\n[3526 rows x 11 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>GLD</th>\n      <th>Oil</th>\n      <th>Materials</th>\n      <th>Energy</th>\n      <th>Financial</th>\n      <th>Industrial</th>\n      <th>Technology</th>\n      <th>Consumer Staples</th>\n      <th>Utilities</th>\n      <th>Health</th>\n      <th>Consumer Discretionary</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2008-01-02</th>\n      <td>NaN</td>\n      <td>0.003717</td>\n      <td>0.009968</td>\n      <td>0.007639</td>\n      <td>0.014480</td>\n      <td>0.004125</td>\n      <td>0.007474</td>\n      <td>0.001402</td>\n      <td>0.003242</td>\n      <td>0.002655</td>\n      <td>0.007484</td>\n    </tr>\n    <tr>\n      <th>2008-01-03</th>\n      <td>NaN</td>\n      <td>0.003827</td>\n      <td>0.009222</td>\n      <td>0.007763</td>\n      <td>0.012272</td>\n      <td>0.006233</td>\n      <td>0.006684</td>\n      <td>0.001052</td>\n      <td>0.002387</td>\n      <td>0.002643</td>\n      <td>0.008562</td>\n    </tr>\n    <tr>\n      <th>2008-01-04</th>\n      <td>NaN</td>\n      <td>0.003798</td>\n      <td>0.008869</td>\n      <td>0.006918</td>\n      <td>0.012004</td>\n      <td>0.004680</td>\n      <td>0.006846</td>\n      <td>0.002617</td>\n      <td>0.003122</td>\n      <td>0.002413</td>\n      <td>0.007468</td>\n    </tr>\n    <tr>\n      <th>2008-01-07</th>\n      <td>NaN</td>\n      <td>0.004544</td>\n      <td>0.008345</td>\n      <td>0.008309</td>\n      <td>0.011431</td>\n      <td>0.004712</td>\n      <td>0.007612</td>\n      <td>0.002959</td>\n      <td>0.003433</td>\n      <td>0.001737</td>\n      <td>0.006682</td>\n    </tr>\n    <tr>\n      <th>2008-01-08</th>\n      <td>NaN</td>\n      <td>0.004160</td>\n      <td>0.008329</td>\n      <td>0.003801</td>\n      <td>0.011540</td>\n      <td>0.003544</td>\n      <td>0.008174</td>\n      <td>0.001234</td>\n      <td>0.003080</td>\n      <td>0.001448</td>\n      <td>0.006900</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2021-12-27</th>\n      <td>0.001058</td>\n      <td>0.036118</td>\n      <td>0.005209</td>\n      <td>0.009696</td>\n      <td>0.008911</td>\n      <td>0.005247</td>\n      <td>0.008501</td>\n      <td>0.002533</td>\n      <td>0.003856</td>\n      <td>0.002617</td>\n      <td>0.006880</td>\n    </tr>\n    <tr>\n      <th>2021-12-28</th>\n      <td>0.001201</td>\n      <td>0.023772</td>\n      <td>0.004719</td>\n      <td>0.010284</td>\n      <td>0.008380</td>\n      <td>0.005680</td>\n      <td>0.008786</td>\n      <td>0.002459</td>\n      <td>0.004603</td>\n      <td>0.004062</td>\n      <td>0.007468</td>\n    </tr>\n    <tr>\n      <th>2021-12-29</th>\n      <td>0.001443</td>\n      <td>0.025607</td>\n      <td>0.004757</td>\n      <td>0.008497</td>\n      <td>0.007177</td>\n      <td>0.004446</td>\n      <td>0.007851</td>\n      <td>0.002355</td>\n      <td>0.004192</td>\n      <td>0.003791</td>\n      <td>0.007036</td>\n    </tr>\n    <tr>\n      <th>2021-12-30</th>\n      <td>0.001291</td>\n      <td>0.022342</td>\n      <td>0.004072</td>\n      <td>0.008561</td>\n      <td>0.008080</td>\n      <td>0.005029</td>\n      <td>0.007549</td>\n      <td>0.002617</td>\n      <td>0.004396</td>\n      <td>0.003039</td>\n      <td>0.006704</td>\n    </tr>\n    <tr>\n      <th>2021-12-31</th>\n      <td>0.001098</td>\n      <td>0.027467</td>\n      <td>0.004367</td>\n      <td>0.007145</td>\n      <td>0.009215</td>\n      <td>0.005076</td>\n      <td>0.007040</td>\n      <td>0.002490</td>\n      <td>0.005138</td>\n      <td>0.004059</td>\n      <td>0.006700</td>\n    </tr>\n  </tbody>\n</table>\n<p>3526 rows × 11 columns</p>\n</div>"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ljump_df"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "bad operand type for unary -: 'AxesSubplot'",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mTypeError\u001B[0m                                 Traceback (most recent call last)",
      "\u001B[1;32m~\\AppData\\Local\\Temp/ipykernel_16688/1878157178.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[1;32m----> 1\u001B[1;33m \u001B[1;33m-\u001B[0m\u001B[0mljump_v_df\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mplot\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m",
      "\u001B[1;31mTypeError\u001B[0m: bad operand type for unary -: 'AxesSubplot'"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ljump_v_df.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rjump_v_df.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:>"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ljump_df.plot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "plt.style.use('seaborn-whitegrid')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "outputs": [],
   "source": [
    "markets = list(jump_v_df.columns)\n",
    "markets = [ 'Oil',\n",
    "'Gold',\n",
    " 'Materials',\n",
    " 'Energy',\n",
    " 'Financial',\n",
    " 'Industrial',\n",
    " 'Technology',\n",
    " 'Consumer Staples',\n",
    " 'Utilities',\n",
    " 'Health',\n",
    " 'Consumer Discretionary']"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\12966\\AppData\\Local\\Temp/ipykernel_16688/3844494072.py:20: MatplotlibDeprecationWarning: savefig() got unexpected keyword argument \"papertype\" which is no longer supported as of 3.3 and will become an error two minor releases later\n",
      "  plt.savefig('RiskMeasure.pdf',dpi=600, bbox_inches='tight',papertype='a4')\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1080x720 with 11 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(4,3,figsize=(15,10),sharex=False,sharey=False)#sharex,sharey表示是否公用坐标轴\n",
    "n = 0\n",
    "for market in markets:\n",
    "    i,j = divmod(n,3)\n",
    "    # data = sectorleveldata[market]\n",
    "    axes[i,j].fill_between(rjump_v_df.index, rjump_v_df[market],linewidth=1,color='cornflowerblue',alpha=0.4)\n",
    "    axes[i,j].fill_between(ljump_v_df.index, -ljump_v_df[market],linewidth=1,color='pink',alpha=0.8)\n",
    "    axes[i,j].plot(rjump_v_df.index, rjump_v_df[market],linewidth=0.5, color='cornflowerblue')\n",
    "    axes[i,j].plot(ljump_v_df.index, -ljump_v_df[market],linewidth=0.5,color='red')\n",
    "    # axes[i,j].plot(data.index, data['95%VaR'],linewidth=0.2,color='red')\n",
    "    # axes[i,j].plot(data.index, data['90%VaR'],linewidth=0.2,color='lightcoral')\n",
    "    axes[i,j].set_title(market,fontsize='large')\n",
    "    if i<3:\n",
    "        axes[i,j].set_ylim(-1.6,0.9)\n",
    "    else:\n",
    "        axes[i,j].set_ylim(-1.6,0.9)\n",
    "    n+=1\n",
    "fig.delaxes(axes[3][2])\n",
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